Main Article Content

Ayik Pusakaningwati
Misbach Munir

In line with the times, there are many trading companies that are engaged in retail trading, such as: shops, minimarkets, supermarkets and others. In Sengonagung department stores, it is known that the purchasing power of consumers is quite high, even though the price offered is the same as other supermarkets. This can be seen from the number of buyers so that it can make a good marketing target. From the large number of buyers who came, it was concluded that there were several attribute factors that influenced consumer purchasing power. The method used is multiple regression which is used to calculate the influence / prediction of two or more variables X on one variable Y. The research was conducted at the Sengonagung Department Store which is located in Sengonagung Village, Kec. Purwosari Kab. Pasuruan. The results of the analysis F count is 12.363, while the results of the F table in the distribution table with an error rate of 5% is 2.27. This means that F count> F table (12.363> 2.27) indicates H1 is accepted and has a positive effect. And the most influential value or H2 is accepted, namely the price variable (X1) which produces a T count value greater than T table, T count (3,732)> T table (1,672), shopping convenience (X3) which results in a T count value greater than T table,Tcount(5,334)>Ttable(1,672).


Keywords: Customer Service and Attitudes Product Completeness Price Shopping Convenience
Afrizal Arif, A. W. (2010). Pengendalian Kualitas Produk Galon Air Mineral 19 L dengan Pendekatan Six Sigma. Available Online at Http://Jurnal.Yudharta.Ac.Id/v2/Index.Php/Jkie, 81–90.
Azwar, Saifuddin.2003. Reliabilitas Dan Validitas (Ed. 3).. Yogyakarta: Pustaka Pelajar.
Hanik, U., Mas’ud, M. I. (2019). Perencanaan Inovasi Pengembangan Agrowisata Bukit Flora Dengan Pendekatan Metode Bisnis Model Kanvas. Journal Knowledge Industrial Engineering (JKIE), 6(3), 91–100
Junaedi, D., Mas’ud, M. I. (2018). Penerapan Metode Forecasting dalam Perencanaan Produksi Bakpia dengan Menggunakan Software POM Guna Memenuhi Permintaan Konsumen. Journal Knowledge Industrial Engineering (JKIE), 5(3), 121-128
Ma’ruf, Hendri. 2005. Pemasaran Ritel. Jakarta: PT. Gramedia Pustaka Utama.
Mas’ud, M. I., Wahid, A. (2020). Model Pengembangan Pengelolaan Hasil Tangkap Ikan Masyarakat Pesisir Kabupaten PASURUAN Melalui Pendekatan Linear Programming dan Business Model Canvas dalam Industri 4.0. Agromix, 11(1), 115–124
Mas’ud, M. I. (2016). Pendekatan Rantai Markov Dalam Pemilihan Universitas Di Kabupaten Pasuruan. Journal Knowledge Industrial Engineering (JKIE), 4(1), 63–70
Mas’ud, M. I. (2020). Integrasi Linier Programming Dan Program Dinamik Untuk Menentukan Jumlah Produksi Kopi Yang Optimum Di UD. Gading Mas. Journal Knowledge Industrial Engineering (JKIE), 7(1), 30–37
Roidelindho, K. (2017). Penentuan Beban Kerja Dan Jumlah Tenaga Kerja Optimal Pada Produksi Tahu. Issn 2477-2089, 3(1), 73–81.
Sugiyono dan Eri Wibowo. 2002. Statistika Penelitian. Edisi Pertama. Cetakan Pertama Alfabeta. Bandung.
Wahid, A. (2017). Pengendalian kualitas produk galon air mineral 19 l dengan pendekatan six sigma. Journal Knowledge Industrial Engineering, 4(1), 15–22. http://jurnal.yudharta.ac.id/v2/index.php/jkie/article/view/863/727
Wuryanto, A. W. (2010). Analisis Total Predictive Maintenance dengan Metode OEE (Overall Equipment Effectiveness) Guna Meningkatkan Performa pada Mesin Husky (PT. XY Gempol) (1). Available Online at Http://Jurnal.Yudharta.Ac.Id/v2/Index.Php/Jkie, 2, 81–90.